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An integrated approach to identify bimodal genes associated..:

Justino, Josivan Ribeiro ; Reis, Clovis Ferreira dos ; Fonseca, André Luiz..
JUSTINO, Josivan Ribeiro; REIS, Clovis Ferreira dos; FONSECA, André Luiz; SOUZA, Sandro José de; STRANSKY, Beatriz. An integrated approach to identify bimodal genes associated with prognosis in cancer. Genetics and Molecular Biology, Ribeirão Preto, v. 44, n.3, p.1-8, 2021. Disponível em: https://www.scielo.br/j/gmb/a/cPtFJjpHJf5yWTz7bVWdyvx/?lang=en. Acesso em: 29 abr. 2022.. , 2021

Link: https://repositorio.ufrn.br/handle/123456789/47071

RT Journal
T1 <Title>An integrated approach to identify bimodal genes associated with prognosis in cancer</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunifrgnorteir:oai:https:__repositorio.ufrn.br:123456789_47071&Exemplar=1&LAN=DE
				
A1 Justino, Josivan Ribeiro
A1 Reis, Clovis Ferreira dos
A1 Fonseca, André Luiz
A1 Souza, Sandro José de
A1 Stransky, Beatriz
PB FapUNIFESP (SciELO)
YR 2021
K1 Cancer
K1 Gene expressions
K1 Bimodal distribution
K1 Gaussian Mixture Model
K1 Survival analysis
JF JUSTINO, Josivan Ribeiro; REIS, Clovis Ferreira dos; FONSECA, André Luiz; SOUZA, Sandro José de; STRANSKY, Beatriz. An integrated approach to identify bimodal genes associated with prognosis in cancer. Genetics and Molecular Biology, Ribeirão Preto, v. 44, n.3, p.1-8, 2021. Disponível em: https://www.scielo.br/j/gmb/a/cPtFJjpHJf5yWTz7bVWdyvx/?lang=en. Acesso em: 29 abr. 2022.
LK http://dx.doi.org/https://repositorio.ufrn.br/handle/123456789/47071
DO https://repositorio.ufrn.br/handle/123456789/47071
SF ELIB - SuUB Bremen

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